Learning the Latest Technology and Cost-Effective Approaches for Building Accurate and Predictive 3D Reservoir Models for the Oil and Gas Industry

Published
American Association of Petroleum Geologists (AAPG)

Just like many industries, the oil and gas industry is embracing machine learning (ML) and artificial intelligence (AI) technology that is expected to fundamentally transform the way we quantitatively characterize and model subsurface reservoirs. Fascinating geoscience-related ML and AI technological innovations, including challenges and opportunities, will be presented and debated at the second edition of the Decision Based Integrated Reservoir Modeling GTW, to be held on 1-2 February 2021 in Al-Khobar, Saudi Arabia.

Will ML and AI help us achieve enhanced accuracy and cost-effectiveness when it comes to reservoir properties prediction and 3D reservoir modeling in complex reservoirs with large multi-disciplinary data?

The workshop will include case studies presentations underscoring how advanced reservoir modeling technology and rigorous multi-disciplinary data integration facilitated the successful execution of complex field increments. Discussions are also expected on the most common pitfalls to avoid.

Attendees will have the opportunity to participate at the “From Modern and Ancient Systems to Geological Modeling” Field Trip taking place on the third day of the workshop. The activity will be led by Mohammed Masrahy and Fawaz Al Khaldi, Saudi Aramco and will comprise a field study of a range of continental clastic modern systems and marine carbonate ancient systems, and related sedimentary facies, each of which possesses attributes that are comparable in part to the subsurface deposits.

Learn more here.

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